High-quality learning resources one click away.

By joining the Lean Data Processing master class, you’ll get access to high-quality, content-rich training material to take your Qlik skills to the next level and prepare yourself to tackle big data processing challenges.

Video Lectures

6+ hours of video recordings

Video Lectures

Get on-demand access to more than 6 hours of video recordings that will guide you through the concepts and techniques in detail.

Demos and Exercises

Practice the concepts in your own computer

Demos and Exercises

The video lectures are paired with demos showing how to apply the techniques, and guided exercises for you to implement the strategies.

Online Forum

Discuss the topics with your fellow students

Online Forum

Discuss the material with your fellow students. Ask questions, interact with your instructor and connect with other students.

Learning assessment

Quizzes to test your knowledge

Learning assessment

Throughout the course, there’s a series of quizzes and other activities in which you will be able to evaluate your progress and learning.

Discover the power of the Lean Data Processing framework.

The following diagram summarizes the optimization strategies we cover in the Lean Data Processing master class. By the end of the course, you will be able to implement all of these strategies in your Qlik projects and will have a clear understanding of when, how and why to implement each of them.

Pillars of Lean Data Processing

What are the benefits of adopting the Lean Data Processing paradigm?

Data Processing is a core function in any analytics project, and it has become increasingly important for BI projects to implement efficient strategies for processing data in the extract and transform layers. Implementing the tools and techniques covered in the LDP master class will help you empower your projects in multiple ways, for example:

Faster reloads, improved lead times

Optimizing the data processing jobs in QlikView and Qlik Sense has the primary benefit of building faster reload jobs which, in turn, enables the possibility of refreshing the end reports with more frequency.

Reduced hardware resource usage

Besides reducing reload times, these techniques also reduce the hardware resource usage (CPU and RAM) that the reload jobs require to process the data (Extract and Transform).

Easier to deal with large amounts of data

No matter how large the data we’re dealing with is, by implementing Lean Data Processing strategies in the transform layer, the data volume becomes a non-issue.


Data growth is an ever-present challenge. Using the techniques covered in the LDP master class will help you build optimized data pipelines, and will make that challenge easier to tackle.

Increased efficiency

Optimized reload jobs can also bring other indirect efficiencies, like the ability to make decisions faster based on fresh data.

Increased capacity

Using less hardware for data processing means there’s more hardware available to handle more jobs or for other uses.

What will you learn today?

Enroll now and start growing your Qlik Skills